Journal of Advanced Transportation最新文献_第2页

Optimal Graph Information Fused Graph Attention Network for Traffic Flow Forecasting 交通流预测的最优图信息融合图注意网络

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-08 DOI: 10.1155/atr/5195875

Xing Xu, Luchen Fei, Yun Zhao, Xiaoshu Lü

{"title":"Optimal Graph Information Fused Graph Attention Network for Traffic Flow Forecasting","authors":"Xing Xu, Luchen Fei, Yun Zhao, Xiaoshu Lü","doi":"10.1155/atr/5195875","DOIUrl":"https://doi.org/10.1155/atr/5195875","url":null,"abstract":"<div>\u0000 <p>To manage and make decisions about intelligent transportation systems more efficiently, accurate traffic flow forecasting is necessary. Traffic flow forecasting has complex spatial correlation and time dependence. Most current research models are based on a predefined graph structure with a priori knowledge for prediction, which cannot well extract the hidden spatial relationships in traffic data. In this paper, we propose the Optimal Graph Information Fused Graph Attention Network (OGIF-GAT). Specifically, we learn the actual connections between nodes and the hidden spatial relationships through the multigraph feature fusion structure. Next, we design a new graph attention network (GAT), which improves the problem of ignoring edge features in the graph structure in the traditional GAT model and considers their edge features when estimating the correlation of each neighboring node pair: the effect that the distance factor between neighboring nodes has on the spatial correlation. In addition, we use the temporal hybrid transformer (THT) to learn temporal dependencies. Extensive experiments on four public transportation datasets (PeMS04, PeMS08, PeMS-BAY, and METR-LA) demonstrate that our model achieves the optimal level of traffic flow prediction accuracy on all of them and is shown to have strong generalization ability. Compared to STSGCN, the mean absolute error (MAE) decreases by 7.9%, 10.3%, 33.2%, and 19.6%, respectively.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5195875","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fuel Consumption Prediction in Regional Transport Based on Selected Bus Line Characteristics 基于公交线路特征的区域交通燃油消耗预测

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-06 DOI: 10.1155/atr/2567720

Tomáš Skrúcaný, Bibiána Poliaková, Martin Kendra, Oľga Blažeková, Mária Vojteková

{"title":"Fuel Consumption Prediction in Regional Transport Based on Selected Bus Line Characteristics","authors":"Tomáš Skrúcaný, Bibiána Poliaková, Martin Kendra, Oľga Blažeková, Mária Vojteková","doi":"10.1155/atr/2567720","DOIUrl":"https://doi.org/10.1155/atr/2567720","url":null,"abstract":"<div>\u0000 <p>From an operational, economic and environmental point of view, it is crucial for public transport authorities and operators to be able to estimate fuel consumption in suburban bus transport. This is especially important when planning a new bus line or re-routing an existing one. This paper aims to identify a simple model for predicting fuel consumption in suburban bus transport based on commonly available input data based on local conditions. The article deals with the issue of fuel consumption of a bus with a conventional compression ignition engine operating on suburban bus lines in a predetermined region in Slovakia. The selected indicators related to the operation of the studied bus are analysed, including the average speed of the bus, the average distance between stops, the road profile of the line and the ambient air temperature. The study was conducted using both long-term and short-term measurements, allowing for a comprehensive analysis of the data. Linear regression and polynomial regression were employed to determine the relationship between fuel consumption and the input data. The results of the long-term experimental measurements and regression analysis indicate that a second-degree polynomial regression is the most accurate method for predicting fuel consumption in suburban bus transport when considering the ambient air temperature. Short-term experimental measurements and regression analysis also demonstrate that a second-degree polynomial regression is the most effective approach for predicting fuel consumption in suburban bus transport, incorporating the average slope of the bus route and the average distance between bus stops. Average vehicle speed did not have a significant effect on predicting bus fuel consumption due to specific reasons that affect average velocity in very different ways.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2567720","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143909445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Framework for Prioritizing the Connected Vehicle Infrastructure Service in Mixed Autonomy Traffic: A Fuzzy-Analytic Hierarchy Process Approach 混合自主交通中网联车辆基础设施服务优先排序框架：模糊层次分析法

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-05 DOI: 10.1155/atr/7410746

Woosuk Kim, Junhyeong Moon, Sung-Soo Choi, Yong-Shin Kang, Sangsoo Lee, Hyungjoo Kim

{"title":"A Framework for Prioritizing the Connected Vehicle Infrastructure Service in Mixed Autonomy Traffic: A Fuzzy-Analytic Hierarchy Process Approach","authors":"Woosuk Kim, Junhyeong Moon, Sung-Soo Choi, Yong-Shin Kang, Sangsoo Lee, Hyungjoo Kim","doi":"10.1155/atr/7410746","DOIUrl":"https://doi.org/10.1155/atr/7410746","url":null,"abstract":"<div>\u0000 <p>This study investigates the integration and prioritization of connected vehicle infrastructure services (CVISs) in mixed autonomy traffic systems using a fuzzy–analytic hierarchy process (Fuzzy–AHP). The study aims to enhance operational efficiency in environments where autonomous vehicles (AVs) and human-driven vehicles (HVs) coexist. By evaluating 92 existing services, the research selects and prioritizes 17 critical services that address safety and efficiency challenges. The methodology involves a Fuzzy–AHP analysis to assess service importance and a modified–importance–performance analysis (M–IPA) to categorize services as either specialized or common based on their utility for AVs and HVs. The findings highlight the pivotal roles of emergency management, traffic operation, and pedestrian detection services in improving traffic safety and flow. This study contributes to the theoretical and practical understanding of CVIS implementation, offering a framework for policymakers and engineers to optimize infrastructure in mixed autonomy traffic scenarios.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/7410746","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh 利用蚁群和粒子群优化算法评估交通导向发展潜力：以孟加拉国达卡为例

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-05-05 DOI: 10.1155/atr/5625483

Md. Anwar Uddin, Sumit Roy, Tahsin Tamanna, Rubayet Arafin Rimon

{"title":"Leveraging Ant Colony and Particle Swarm Optimization Algorithms for Assessing the Transit-Oriented Development Potential: A Case Study of Dhaka, Bangladesh","authors":"Md. Anwar Uddin, Sumit Roy, Tahsin Tamanna, Rubayet Arafin Rimon","doi":"10.1155/atr/5625483","DOIUrl":"https://doi.org/10.1155/atr/5625483","url":null,"abstract":"<div>\u0000 <p>This study explores transit-oriented development (TOD) in Dhaka City using optimization algorithms to provide urban planning and policy-making insights. The analysis examined the distribution of the TOD index values across the city and identified areas with varying levels of TOD potential. Two optimization algorithms, ant colony optimization (ACO) and particle swarm optimization (PSO), were employed to assess and compare the TOD index values. The results highlight the significance of transit infrastructure in promoting sustainable urban development, particularly in proximity to existing mass rapid transit (MRT) lines. PSO is more suitable for this study among the optimization algorithms because it offers a more precise TOD potential assessment. The findings suggest prioritizing investments in transit infrastructure and implementing TOD-friendly policies to foster sustainable urban growth and improve residents’ quality of life. Future studies can benefit from optimizing the algorithm parameters and incorporating real-world data to improve the accuracy of the TOD assessments.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/5625483","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143909102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory 基于博弈论的城市交通出行碳足迹优化模型

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-04-29 DOI: 10.1155/atr/3990405

Xiaoyu Wu, Aiguo Lei, Lishuang Bian

{"title":"An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory","authors":"Xiaoyu Wu, Aiguo Lei, Lishuang Bian","doi":"10.1155/atr/3990405","DOIUrl":"https://doi.org/10.1155/atr/3990405","url":null,"abstract":"<div>\u0000 <p>To address climate change and promote green and low-carbon development, this study proposes an urban travel carbon footprint optimization method for transportation structures. Considering the environmental friendliness and efficiency of travel and combining carbon incentive policies and regret mechanisms, the travel preference model is constructed using game theory. Through the comprehensive perceived benefit function and multidimensional analysis, the effective reduction of travel carbon footprint is achieved. Taking Beijing as an example, the optimized transportation structure reduces the carbon footprint of travel by 17.17% and the total carbon emissions by 13.04%. Research has shown that to achieve the optimal carbon footprint, the green travel preference weight <i>p</i><sub>1</sub> in the multiobjective optimization model needs to be no less than 0.48, which verifies that this method can effectively alleviate the problem of transportation carbon emissions. Although this study has certain limitations in dynamic traffic demand applications, it has good practical application value for travel carbon footprint optimization under static demand conditions and contributes to the sustainable development of urban transportation and the realization of the “dual carbon” goals in China.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/3990405","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143889069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Short-Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System 基于联邦学习的城市地铁系统短期客流预测

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-04-29 DOI: 10.1155/atr/8834513

Guowen Dai, Jinjun Tang, Jie Zeng, Yuting Jiang

{"title":"Short-Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System","authors":"Guowen Dai, Jinjun Tang, Jie Zeng, Yuting Jiang","doi":"10.1155/atr/8834513","DOIUrl":"https://doi.org/10.1155/atr/8834513","url":null,"abstract":"<div>\u0000 <p>Accurate short-term metro passenger flow prediction is critical for urban transit management, yet existing methods face two key challenges: (1) privacy risks from centralized data collection and (2) limited capability to model spatiotemporal dependencies. To address these issues, this study proposes a federated learning framework integrating convolutional neural networks (CNNs) and bidirectional gated recurrent units (BIGRU). Unlike conventional approaches that require raw data aggregation, our method facilitates collaborative model training across metro stations while keeping data stored locally. The CNN is employed to extract spatial patterns, such as passenger correlations between adjacent stations, while the BIGRU captures bidirectional temporal dynamics, including peak-hour evolution. This architecture effectively eliminates the need for sensitive data sharing. We validate the framework using real-world datasets from Shenzhen Metro, and our key innovations include a privacy-preserving mechanism through federated parameter aggregation, joint spatial-temporal feature learning without the need for raw data transmission, and enhanced generalization across heterogeneous stations.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/8834513","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-Driven Approach for Passenger Assignment in Urban Rail Transit Networks: Insights From Passenger Route Choices and Itinerary Choices 城市轨道交通网络中乘客分配的数据驱动方法：来自乘客路线选择和行程选择的见解

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-04-28 DOI: 10.1155/atr/6620828

Di Wen, Hongxia Lv, Hao Yu

{"title":"Data-Driven Approach for Passenger Assignment in Urban Rail Transit Networks: Insights From Passenger Route Choices and Itinerary Choices","authors":"Di Wen, Hongxia Lv, Hao Yu","doi":"10.1155/atr/6620828","DOIUrl":"https://doi.org/10.1155/atr/6620828","url":null,"abstract":"<div>\u0000 <p>Congestion in urban rail transit (URT) systems often results in passengers being left behind on platforms due to trains’ reaching capacity. Distinguishing between the travel choice behaviors of passengers who board the first arriving train (Type I passengers) and those who are left behind (Type II passengers) in passenger assignment is essential for effective URT passenger management. This paper proposes a data-driven passenger-to-train assignment model (DPTAM) that leverages automated fare collection (AFC) data and automated vehicle location (AVL) data to differentiate between the travel choice behaviors of the two types of passengers. The model comprises two modules based on passenger travel choice behavior: the passenger route choice model (PRCM) and the passenger itinerary choice model (PICM). The PRCM employs a granular ball–based density peaks clustering (GB-DP) algorithm to estimate passengers’ route choices based on historical data, enhancing precision and efficiency in passenger classification and route matching. The PICM incorporates tailored itinerary selection strategies that consider train capacity constraints and schedules, enabling accurate inference of passenger itineraries and localization of their spatiotemporal states. The model also estimates train loads and left-behind probabilities to identify congested periods and sections. The effectiveness of DPTAM is validated through synthetic data, demonstrating superior assignment accuracy compared to benchmarks. Additionally, real-world data from Chengdu Metro reveal the impact of congestion on travel behavior and effectively identify congested periods and high-demand stations and sections, highlighting its potential to enhance URT system efficiency and passenger management.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/6620828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Addressing Perceived Insecurity in Public Transportation: A PLS-SEM Approach 解决公共交通中的不安全感：PLS-SEM方法

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-04-24 DOI: 10.1155/atr/9606650

Carolina Busco, Felipe González, Sara Arancibia, Tiare Vera, Milko Yuretic, Claudio Fuentes

{"title":"Addressing Perceived Insecurity in Public Transportation: A PLS-SEM Approach","authors":"Carolina Busco, Felipe González, Sara Arancibia, Tiare Vera, Milko Yuretic, Claudio Fuentes","doi":"10.1155/atr/9606650","DOIUrl":"https://doi.org/10.1155/atr/9606650","url":null,"abstract":"<div>\u0000 <p>The sense of insecurity and fear of crime associated with public transportation are disadvantages that can deter individuals from using public transportation. We propose a methodology based on partial least squares structural equation modeling (PLS-SEM) to examine perceptions of insecurity among public transportation users in the Gran Valparaíso area and how these perceptions have influenced the corporate image of the services. To do so, we conducted a survey to assess perceptions of insecurity in situations involving harassment, crime, threatening social environments, crowded and isolated environments, and corporate image. Additionally, we considered gender and previous experiences of victimization in public transportation as moderating factors to identify significant differences among these groups. The main factor influencing the corporate image of buses and the metro is insecurity based on harassment. In terms of gender, women have a heightened perception of insecurity in crowded settings, influencing their feelings of insecurity based on harassment. Meanwhile, men’s apprehension mainly relates to crime and is due to isolated environments.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/9606650","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Managing Road Traffic Speed: Challenges, Opportunities, and New Developments 管理道路交通速度：挑战、机遇和新发展

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-04-23 DOI: 10.1155/atr/2344316

Tilahun Mintie Wubie, Girma Berhanu Bezabeh, Yonas Minalu Emagnu, Luca Persia

{"title":"Managing Road Traffic Speed: Challenges, Opportunities, and New Developments","authors":"Tilahun Mintie Wubie, Girma Berhanu Bezabeh, Yonas Minalu Emagnu, Luca Persia","doi":"10.1155/atr/2344316","DOIUrl":"https://doi.org/10.1155/atr/2344316","url":null,"abstract":"<div>\u0000 <p>Nowadays, speeding has become a primary concern globally because of its significant impact on increasing the frequency and severity of road crashes, fuel consumption, and environmental pollution. These problems have created an urgent need for advancements in managing vehicle speeds to mitigate the negative impacts of speeding. Concerning this, strategies such as setting speed limits, traffic calming measures, police enforcement, and spot speed camera enforcement (SSCE) have been widely investigated for their suitability and impacts on speed management. Although such conventional measures are effective, depending on circumstances, in reducing vehicle speed in the vicinity of the interventions, studies have shown that their impact is limited in space, leading to the problem of event migration. The promising approaches to solving such limitations are the use of variable speed limits (VSLs), intelligent traffic calming devices, sectional speed enforcement systems (SSES), and intelligent speed adaptation (ISA) systems. Despite their limitations, conventional speed management measures are continuing to be implemented predominantly around the world because of their lower initial cost of installation and implementation. This paper provides an overview of the scientific evidence regarding the impact of state-of-the-art speed management measures on speed-related outcomes. Furthermore, it presents the current progress and prospects for advancing speed management strategies to improve road safety and environmental protection.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/2344316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Travel Mode Choices for Connecting Urban Rail Transit System During Irregular Time Periods: A Case Study in Beijing 不规则时段城市轨道交通系统接驳的出行方式选择：北京案例研究

IF 2 4区工程技术

Journal of Advanced Transportation Pub Date : 2025-04-22 DOI: 10.1155/atr/6691768

Yu Song, Songpo Yang, Danni Cao, Haodong Yin, Jianjun Wu

{"title":"Travel Mode Choices for Connecting Urban Rail Transit System During Irregular Time Periods: A Case Study in Beijing","authors":"Yu Song, Songpo Yang, Danni Cao, Haodong Yin, Jianjun Wu","doi":"10.1155/atr/6691768","DOIUrl":"https://doi.org/10.1155/atr/6691768","url":null,"abstract":"<div>\u0000 <p>The varying operating schedules of urban rail transit (URT) lines, combined with the distance between travelers’ origins and the URT stations, pose challenges for selecting their travel modes during irregular time periods such as early mornings and late evenings (EMLE). The choices during these special time periods may be influenced by personal attributes, travel attributes, environmental attributes, and psychological perceptions. We first conduct a questionnaire survey to explore travelers’ choice behaviors when they commute to or from URT stations, considering various influencing factors. After completing the statistical analysis, we then proceed with a preliminary assessment of the factors impacting travel mode preferences. Subsequently, a hybrid methodology that integrates structural equation modeling (SEM) and a random parameter logit model (RPLM) is introduced to investigate the impacts of factors. Notably, the interaction terms among travel time, cost, and psychological perception are considered as random variables. As a result, the heightened interaction between travel time and safety perception leads to a reduced probability of opting for walking or bike-sharing as transportation modes. Similarly, there is a notable decrease in the probability of selecting a taxi when the interaction terms of travel cost and safety perception increase. The above results identify that travelers prefer to take safer and more convenient travel modes during the EMLE period.</p>\u0000 </div>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/atr/6691768","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143857000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0